{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:ICNGDFC2SZL7H2NCVTUIA6EFKS","short_pith_number":"pith:ICNGDFC2","canonical_record":{"source":{"id":"1511.05604","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-11-17T22:18:44Z","cross_cats_sorted":[],"title_canon_sha256":"70ef05f49b491d2e110f61f8d9855535147d45cba9a53561d15a5c61571a5277","abstract_canon_sha256":"f61361d5ccc485aecdf940333a391772a7c36039ff451ecb2a47bb6a893f6b4e"},"schema_version":"1.0"},"canonical_sha256":"409a61945a9657f3e9a2ace8807885549461d90ad82fe57da547080dc92a4860","source":{"kind":"arxiv","id":"1511.05604","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.05604","created_at":"2026-05-18T00:13:08Z"},{"alias_kind":"arxiv_version","alias_value":"1511.05604v2","created_at":"2026-05-18T00:13:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.05604","created_at":"2026-05-18T00:13:08Z"},{"alias_kind":"pith_short_12","alias_value":"ICNGDFC2SZL7","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"ICNGDFC2SZL7H2NC","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"ICNGDFC2","created_at":"2026-05-18T12:29:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:ICNGDFC2SZL7H2NCVTUIA6EFKS","target":"record","payload":{"canonical_record":{"source":{"id":"1511.05604","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-11-17T22:18:44Z","cross_cats_sorted":[],"title_canon_sha256":"70ef05f49b491d2e110f61f8d9855535147d45cba9a53561d15a5c61571a5277","abstract_canon_sha256":"f61361d5ccc485aecdf940333a391772a7c36039ff451ecb2a47bb6a893f6b4e"},"schema_version":"1.0"},"canonical_sha256":"409a61945a9657f3e9a2ace8807885549461d90ad82fe57da547080dc92a4860","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:08.174637Z","signature_b64":"gHyDt3GkBny1FiT+lRM/FUQU9UMScS0DvIWMLTuGeFDnoJKvnylh8g3pRlcf9uRsxzdwE2RhdTq76t4OvdEqDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"409a61945a9657f3e9a2ace8807885549461d90ad82fe57da547080dc92a4860","last_reissued_at":"2026-05-18T00:13:08.173927Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:08.173927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.05604","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:13:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I8LSXrwh+lHanEjgc/6+xSlBNU6lmcJoa5iXDSsj1DqDTpgP42PJ6Z0vS6zP/7v7IooBk+1kR9/bOeW+KvqBBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:07:05.379646Z"},"content_sha256":"caa22d91a2f31180bc59ad44258b8737b02e55b6eddcb3e0d00b69394f96e501","schema_version":"1.0","event_id":"sha256:caa22d91a2f31180bc59ad44258b8737b02e55b6eddcb3e0d00b69394f96e501"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:ICNGDFC2SZL7H2NCVTUIA6EFKS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"blavaan: Bayesian structural equation models via parameter expansion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Edgar C. Merkle, Yves Rosseel","submitted_at":"2015-11-17T22:18:44Z","abstract_excerpt":"This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter expansion approach for estimating specific types of models with residual covariances, which facilitates estimation of these models in JAGS. The methodology and software are intended to provide users with a general means of estimating Bayesian SEMs, both classical and novel, in a straightforward fashion. Users can estimate Bayesian versions of classical SEMs with lavaan syntax, they can obtain state-of-the-art Bayesi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.05604","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:13:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I3hQWnJMXH0KMabod+C93hoUdI70TqShYJ1+dPvCMatD2voqOu3MHbFgini+JmvncclWEmXn87k62ctBvdkaBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:07:05.380113Z"},"content_sha256":"602d451b5a30cc0633a00c48d01c040033ea640798af9cdc7733e4e5e2964509","schema_version":"1.0","event_id":"sha256:602d451b5a30cc0633a00c48d01c040033ea640798af9cdc7733e4e5e2964509"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ICNGDFC2SZL7H2NCVTUIA6EFKS/bundle.json","state_url":"https://pith.science/pith/ICNGDFC2SZL7H2NCVTUIA6EFKS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ICNGDFC2SZL7H2NCVTUIA6EFKS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T19:07:05Z","links":{"resolver":"https://pith.science/pith/ICNGDFC2SZL7H2NCVTUIA6EFKS","bundle":"https://pith.science/pith/ICNGDFC2SZL7H2NCVTUIA6EFKS/bundle.json","state":"https://pith.science/pith/ICNGDFC2SZL7H2NCVTUIA6EFKS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ICNGDFC2SZL7H2NCVTUIA6EFKS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:ICNGDFC2SZL7H2NCVTUIA6EFKS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f61361d5ccc485aecdf940333a391772a7c36039ff451ecb2a47bb6a893f6b4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-11-17T22:18:44Z","title_canon_sha256":"70ef05f49b491d2e110f61f8d9855535147d45cba9a53561d15a5c61571a5277"},"schema_version":"1.0","source":{"id":"1511.05604","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.05604","created_at":"2026-05-18T00:13:08Z"},{"alias_kind":"arxiv_version","alias_value":"1511.05604v2","created_at":"2026-05-18T00:13:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.05604","created_at":"2026-05-18T00:13:08Z"},{"alias_kind":"pith_short_12","alias_value":"ICNGDFC2SZL7","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"ICNGDFC2SZL7H2NC","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"ICNGDFC2","created_at":"2026-05-18T12:29:25Z"}],"graph_snapshots":[{"event_id":"sha256:602d451b5a30cc0633a00c48d01c040033ea640798af9cdc7733e4e5e2964509","target":"graph","created_at":"2026-05-18T00:13:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter expansion approach for estimating specific types of models with residual covariances, which facilitates estimation of these models in JAGS. The methodology and software are intended to provide users with a general means of estimating Bayesian SEMs, both classical and novel, in a straightforward fashion. Users can estimate Bayesian versions of classical SEMs with lavaan syntax, they can obtain state-of-the-art Bayesi","authors_text":"Edgar C. Merkle, Yves Rosseel","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-11-17T22:18:44Z","title":"blavaan: Bayesian structural equation models via parameter expansion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.05604","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:caa22d91a2f31180bc59ad44258b8737b02e55b6eddcb3e0d00b69394f96e501","target":"record","created_at":"2026-05-18T00:13:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f61361d5ccc485aecdf940333a391772a7c36039ff451ecb2a47bb6a893f6b4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-11-17T22:18:44Z","title_canon_sha256":"70ef05f49b491d2e110f61f8d9855535147d45cba9a53561d15a5c61571a5277"},"schema_version":"1.0","source":{"id":"1511.05604","kind":"arxiv","version":2}},"canonical_sha256":"409a61945a9657f3e9a2ace8807885549461d90ad82fe57da547080dc92a4860","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"409a61945a9657f3e9a2ace8807885549461d90ad82fe57da547080dc92a4860","first_computed_at":"2026-05-18T00:13:08.173927Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:08.173927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gHyDt3GkBny1FiT+lRM/FUQU9UMScS0DvIWMLTuGeFDnoJKvnylh8g3pRlcf9uRsxzdwE2RhdTq76t4OvdEqDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:08.174637Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.05604","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:caa22d91a2f31180bc59ad44258b8737b02e55b6eddcb3e0d00b69394f96e501","sha256:602d451b5a30cc0633a00c48d01c040033ea640798af9cdc7733e4e5e2964509"],"state_sha256":"b2e68a2d587ab1f6aaf15d9a81263252f7830d874e3fa726181cca2225a6e351"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cdzu+Z5yhmLP9WK64B8qqv+onBt1OSoBKiBDyoodadAfVm6aNaPf38/JA6b1SE94jrrZoX7k8p6G33KSn278BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T19:07:05.383807Z","bundle_sha256":"21b443ca667cabfe5bd4f6cc209edf1c4a4f4f01fcb56dda85ba262bdcc27e72"}}